Instructions to use wirthual/Meta-Llama-3.2-1B-Instruct-llamafile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use wirthual/Meta-Llama-3.2-1B-Instruct-llamafile with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="wirthual/Meta-Llama-3.2-1B-Instruct-llamafile")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("wirthual/Meta-Llama-3.2-1B-Instruct-llamafile", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use wirthual/Meta-Llama-3.2-1B-Instruct-llamafile with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "wirthual/Meta-Llama-3.2-1B-Instruct-llamafile"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "wirthual/Meta-Llama-3.2-1B-Instruct-llamafile",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/wirthual/Meta-Llama-3.2-1B-Instruct-llamafile

SGLang

How to use wirthual/Meta-Llama-3.2-1B-Instruct-llamafile with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "wirthual/Meta-Llama-3.2-1B-Instruct-llamafile" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "wirthual/Meta-Llama-3.2-1B-Instruct-llamafile",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "wirthual/Meta-Llama-3.2-1B-Instruct-llamafile" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "wirthual/Meta-Llama-3.2-1B-Instruct-llamafile",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use wirthual/Meta-Llama-3.2-1B-Instruct-llamafile with Docker Model Runner:
```
docker model run hf.co/wirthual/Meta-Llama-3.2-1B-Instruct-llamafile
```

wirthual commited on Sep 26, 2024

Commit

9626f29

verified ·

1 Parent(s): c5e71c2

Upload 4 files

Browse files

Files changed (5) hide show

.gitattributes +4 -0
Meta-Llama-3.2-1B-Instruct-Q3_K_L.llamafile +3 -0
Meta-Llama-3.2-1B-Instruct-Q4_K_M.llamafile +3 -0
Meta-Llama-3.2-1B-Instruct-Q6_K.llamafile +3 -0
Meta-Llama-3.2-1B-Instruct-Q8_0.llamafile +3 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Meta-Llama-3.2-1B-Instruct-Q3_K_L.llamafile filter=lfs diff=lfs merge=lfs -text
+Meta-Llama-3.2-1B-Instruct-Q4_K_M.llamafile filter=lfs diff=lfs merge=lfs -text
+Meta-Llama-3.2-1B-Instruct-Q6_K.llamafile filter=lfs diff=lfs merge=lfs -text
+Meta-Llama-3.2-1B-Instruct-Q8_0.llamafile filter=lfs diff=lfs merge=lfs -text

Meta-Llama-3.2-1B-Instruct-Q3_K_L.llamafile ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a4e7e323026108a0e83cb2566cd9ae6a2bbfd77e73a92e89517557acdddfed8d
+size 973945018

Meta-Llama-3.2-1B-Instruct-Q4_K_M.llamafile ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:0c9b3f699c6e0740741d3e4c67550560b0c480b61308217af6d08b08c3da3bc2
+size 1049114810

Meta-Llama-3.2-1B-Instruct-Q6_K.llamafile ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:8615d64ec0bf2bdf2058a0176e60641641afa69bd22f85c781d55f9ee867d62f
+size 1263220918

Meta-Llama-3.2-1B-Instruct-Q8_0.llamafile ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:913161da72d11e34704a098a2a643d56ea7831327142a92f4f71c68abe17d108
+size 1562523830